Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- McGill University
- University of British Columbia
- University of Toronto
- University of Saskatchewan
- National Research Council Canada
- Ryerson University
- Northern Alberta Institute of Technology
- Mount Royal University
- OCAD University
- SAIT Polytechnic
- The University of British Columbia (UBC)
- 1 more »
- « less
-
Field
-
: sequential or time-series modelling, reinforcement learning, generative modelling, or representation learning. Hands-on experience implementing ML algorithms from first principles using Python, C++, CUDA
-
of more than one computer operating system (Linux, Mac, Windows) is an asset. Knowledge of statistical software packages (e.g. R, Stata, SAS) is an asset Knowledge of programming software (e.g. Python) is an
-
understanding of general equilibrium concepts Proficiency in at least one programming or statistical software package (Python, MATLAB, R, or Stata) Excellent critical thinking skills and attention to detail
-
Adhere to all lab safety practices and department policies. Qualifications: Master's degree in robotics, specifically semantic SLAM for mill-yard environments. Proficiency with ROS2, IsaacSim, Python
-
minimum of one-year experience teaching a variety of university level, degree granting courses in Statistics, Biostatistics or Data Science that include computation using R, Python, or another programming
-
SAP Project Systems would be considered an asset. Experience using Python would be considered an asset. *Significant experience is defined as at least two (2) years of experience. Condition
-
exercising tact, discretion, and flexibility Assets (Nonessential): Proficiency with Python and SAS preferred Experience with AirTable To be successful in this role you will be: Communicator Insightful
-
to script and program work flows in C++ and python and understanding and use of remote sensing and GIS programs is essential. Demonstrated experience utilizing a cloud computing environment such as AWS
-
, or equivalent combination of education and experience Minimum five (5) years' experience in cloud infrastructure, platform engineering, or DevOps/SRE roles Strong proficiency in Python and Linux
-
. Programming in R and/or Python Expertise in statistical methods including linear mixed effects regressions and multivariate statistical analyses Presenting work at international conferences Mentoring students